Jenna Kwon

Does the "workaround" for Conv1D involve defining a subclass of QuantizationConfig as explained in this guide? https://www.tensorflow.org/model_optimization/guide/quantization/training_comprehensive_guide#experiment_with_quantization

I see. So I take that as I can reuse the QuantizationConfig of Conv2D for Conv1D. We do have Conv1D then BatchNorm though. So would QuantizationConfig of Conv1D have to...

I see. Thank you for the reply. That must be subclassing `tensorflow_model_optimization.python.core.quantization.keras.graph_transformations.transforms.Transform`, as done here https://github.com/tensorflow/model-optimization/blob/master/tensorflow_model_optimization/python/core/quantization/keras/default_8bit/default_8bit_transforms.py#L171 , correct? I will take a shot at implementing this.

Do you have an example or demo for the stacked row chart?

This is still an issue for me. I'm hitting the exact same error (No bokeh-protocol specified). I've tried with my SM notebook instance being in a VPC / no VPC....

Hello! Would like to get a status on this issue / if there's a fix for this! Thank you!

It'd also be great if I can find out who on AWS is in charge of this? I'm at Amazon and can look into the progress of the service team's...

I see. Sounds good. Thanks! It sounds like this could be a documentation improvement about the behavior of empty fields. I will leave this open until we improve that documentation.

Hi Patrick! I verified that `use_internal_ips: True` works for a subnet with `auto-assign public IPv4 address` == `False`. So I believe that solves the original issue. My suggestion is to...

assigning to myself @jennakwon06